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Titlebook: Computational and Machine Learning Tools for Archaeological Site Modeling; Maria Elena Castiello Book 2022 The Editor(s) (if applicable) a

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發(fā)表于 2025-3-21 19:08:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational and Machine Learning Tools for Archaeological Site Modeling
編輯Maria Elena Castiello
視頻videohttp://file.papertrans.cn/234/233250/233250.mp4
概述Nominated as an outstanding PhD thesis by the University of Bern, Switzerland.Describes novel methods for investigating archaeological settlement patterns and locational preference choices.Proposes a
叢書名稱Springer Theses
圖書封面Titlebook: Computational and Machine Learning Tools for Archaeological Site Modeling;  Maria Elena Castiello Book 2022 The Editor(s) (if applicable) a
描述This book describes a novel machine-learning based approach?? to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences. Institutional data collected from six Swiss regions (Zurich, Aargau, Grisons, Vaud, Geneva and Fribourg) have been analyzed with an original conceptual framework based on the Random Forest algorithm. It is shown how the algorithm can assist in the modelling process in connection with heterogeneous, incomplete archaeological datasets and related cultural heritage information. Moreover, an in-depth review of past and more recent works of quantitative methods for archaeological predictive modelling is provided. The book guides the readers to set up their own protocol for: i) dealing with uncertain data, ii) predicting archaeological site location, iii) establishing environmental features importance, iv) and suggest a model validation procedure.?It addresses both academics and professionals in archaeology and cultural heritage management, and offers a source of inspiration for future research directions in the field of digital humanities and computational archaeology.. .?.
出版日期Book 2022
關(guān)鍵詞Machine Learning in Archaeology; Random Forest in Archaeology; Computers Application in Archaeology; Co
版次1
doihttps://doi.org/10.1007/978-3-030-88567-0
isbn_softcover978-3-030-88569-4
isbn_ebook978-3-030-88567-0Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:14:33 | 只看該作者
Modeling Approachs is then presented, including the first results about site locations and their environment, at a regional and supra-regional scale. Finally, the chosen Machine Learning algorithm (Random Forest), its parameters and settings are described, offering a reproducible narrative methodological protocol.
板凳
發(fā)表于 2025-3-22 01:41:18 | 只看該作者
地板
發(fā)表于 2025-3-22 05:59:03 | 只看該作者
2190-5053 ement patterns and locational preference choices.Proposes a This book describes a novel machine-learning based approach?? to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences. Institutional data collected from six Swiss regions
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發(fā)表于 2025-3-22 11:05:00 | 只看該作者
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發(fā)表于 2025-3-22 16:17:54 | 只看該作者
Symptome der Haut/Hautanhangsgebilde, concept is provided and an introduction to Geographic Information Systems (GIS) is given with respect to their specific use for Archaeological Site Modeling procedures. Ultimately, the gradual adoption of computer and quantitative applications in archaeology and cultural heritage management is explored.
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發(fā)表于 2025-3-22 19:41:49 | 只看該作者
Introductionhapter provides a general introduction to the research context and the organization of Swiss Cultural Heritage management. It synthesizes the motivation and research questions behind the study and outlines the challenges and the objectives that can arise from such innovative research at the cross roads of multiple disciplines.
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發(fā)表于 2025-3-23 00:37:45 | 只看該作者
Space, Environment and Quantitative Approaches in Archaeology concept is provided and an introduction to Geographic Information Systems (GIS) is given with respect to their specific use for Archaeological Site Modeling procedures. Ultimately, the gradual adoption of computer and quantitative applications in archaeology and cultural heritage management is explored.
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發(fā)表于 2025-3-23 04:04:53 | 只看該作者
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發(fā)表于 2025-3-23 06:38:51 | 只看該作者
Materials and Dataomparative way, creating a common data architecture allowing for supra-regional analyses. Furthermore, the geo-environmental variables assumed to have influenced site location choices during Roman times and used as predictors in the modeling procedure are described.
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